Tag: Big Data

2011 Analytics Recap

Events in the field of data that impacted us in 2011

1) Oracle unveiled plans for R Enterprise. This is one of the strongest statements of its focus on in-database analytics. Oracle also unveiled plans for a Public Cloud

2) SAS Institute released version 9.3 , a major analytics software in industry use.

3) IBM acquired many companies in analytics and high tech. Again.However the expected benefits from Cognos-SPSS integration are yet to show a spectacular change in market share.

2011 Selected acquisitions

Emptoris Inc. December 2011

Cúram Software Ltd. December 2011

DemandTec December 2011

Platform Computing October 2011

 Q1 Labs October 2011

Algorithmics September 2011

 i2 August 2011

Tririga March 2011

 

4) SAP promised a lot with SAP HANA- again no major oohs and ahs in terms of market share fluctuations within analytics.

http://www.sap.com/india/news-reader/index.epx?articleID=17619

5) Amazon continued to lower prices of cloud computing and offer more options.

http://aws.amazon.com/about-aws/whats-new/2011/12/21/amazon-elastic-mapreduce-announces-support-for-cc2-8xlarge-instances/

6) Google continues to dilly -dally with its analytics and cloud based APIs. I do not expect all the APIs in the Google APIs suit to survive and be viable in the enterprise software space.  This includes Google Cloud Storage, Cloud SQL, Prediction API at https://code.google.com/apis/console/b/0/ Some of the location based , translation based APIs may have interesting spin offs that may be very very commercially lucrative.

7) Microsoft -did- hmm- I forgot. Except for its investment in Revolution Analytics round 1 many seasons ago- very little excitement has come from MS plans in data mining- The plugins for cloud based data mining from Excel remain promising yet , while Azure remains a stealth mode starter.

8) Revolution Analytics promised us a GUI and didnt deliver (till yet 🙂 ) . But it did reveal a much better Enterprise software Revolution R 5.0 is one of the strongest enterprise software in the R /Stat Computing space and R’s memory handling problem is now an issue of perception than actual stuff thanks to newer advances in how it is used.

9) More conferences, more books and more news on analytics startups in 2011. Big Data analytics remained a strong buzzword. Expect more from this space including creative uses of Hadoop based infrastructure.

10) Data privacy issues continue to hamper and impede effective analytics usage. So does rational and balanced regulation in some of the most advanced economies. We expect more regulation and better guidelines in 2012.

Announcing Jaspersoft 4.5

Message from  Jaspersoft

————————–

Announcing Jaspersoft 4.5:
Powerful Analytics for All Your Data

This new release provides a single, easy-to-use environment designed with the non-technical user in mind — delivering insight to data stored in relational, OLAP, and Big Data environments.New in Jaspersoft 4.5

Broad and Deep Big Data Connectivity
Intuitive drag and drop web UI for performing reporting and analysis against Hadoop, MongoDB, Cassandra, and many more.

Improved Ad Hoc Reporting and Analysis
Non-technical users can perform their own investigation.

Supercharged Analytic Performance
Enhanced push-down query processing and In-Memory Analysis engine improves response times for aggregation and summary queries.

Join us for an in-depth review and demo, showcasing the new features for self-service BI across any data source.

For more information on Jaspersoft 4.5, or any Jaspersoft solution, contact at sales@jaspersoft.com, or            415-348-2380      .

 

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Webinar: Using R within Oracle #rstats

Webinar: Using R within Oracle — Nov 30, noon EST

==========================================
Oracle now supports the R open source statistical programming language. Come to this webinar to learn more about using R within an Oracle environment.

— URL for TechCast: https://stbeehive.oracle.com/bconf/confDetails?confID=334B:3BF0:owch:38893C00F42F38A1E0404498C8A6612B0004075AECF7&guest=true&confKey=608880
— Web Conference ID: 303397
— Web Conference Key: 608880
— Dialup:             1-866-682-4770      , ID 5548204, passcode 1234

After a steady rise in the past few years, in 2010 the open source data mining software R overtook other tools to become the tool used by more data miners (43%) than any other (http://www.rexeranalytics.com/Data-Miner-Survey-Results-2010.html).

Several analytic tool vendors have added R-integration to their software. However, Oracle is the largest company to throw their weight behind R. On October 3, Oracle unveiled their integration of R: Oracle R Enterprise (http://www.oracle.com/us/corporate/features/features-oracle-r-enterprise-498732.html) as part of their Oracle Big Data Appliance announcement (http://www.oracle.com/us/corporate/press/512001).

Oracle R Enterprise allows users to perform statistical analysis with advanced visualization on data stored in Oracle Database. Oracle R Enterprise enables scalable R solutions, while facilitating production deployment of R scripts and Hadoop based solutions, as well as integration of R results with Oracle BI Publisher and OBIEE dashboards.

This TechCast introduces the various Oracle R Enterprise components and features, along with R script demonstrations that interface with Oracle Database.

TechCast presenter: Mark Hornick, Senior Manager, Oracle Advanced Analytics Development.
This TechCast is part of the ongoing TechCasts series coordinated by Oracle BIWA: The BI, Warehousing and Analytics SIG (http://www.oracleBIWA.org).

Oracle adds R to Big Data Appliance -Use #Rstats

From the press release, Oracle gets on R and me too- NoSQL

http://www.oracle.com/us/corporate/press/512001

The Oracle Big Data Appliance is a new engineered system that includes an open source distribution of Apache™ Hadoop™, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R.

From

http://www.theregister.co.uk/2011/10/03/oracle_big_data_appliance/

the Big Data Appliance also includes the R programming language, a popular open source statistical-analysis tool. This R engine will integrate with 11g R2, so presumably if you want to do statistical analysis on unstructured data stored in and chewed by Hadoop, you will have to move it to Oracle after the chewing has subsided.

This approach to R-Hadoop integration is different from that announced last week between Revolution Analytics, the so-called Red Hat for stats that is extending and commercializing the R language and its engine, and Cloudera, which sells a commercial Hadoop setup called CDH3 and which was one of the early companies to offer support for Hadoop. Both Revolution Analytics and Cloudera now have Oracle as their competitor, which was no doubt no surprise to either.

In any event, the way they do it, the R engine is put on each node in the Hadoop cluster, and those R engines just see the Hadoop data as a native format that they can do analysis on individually. As statisticians do analyses on data sets, the summary data from all the nodes in the Hadoop cluster is sent back to their R workstations; they have no idea that they are using MapReduce on unstructured data.

Oracle did not supply configuration and pricing information for the Big Data Appliance, and also did not say when it would be for sale or shipping to customers

From

http://www.oracle.com/us/corporate/features/feature-oracle-nosql-database-505146.html

A Horizontally Scaled, Key-Value Database for the Enterprise
Oracle NoSQL Database is a commercial grade, general-purpose NoSQL database using a key/value paradigm. It allows you to manage massive quantities of data, cope with changing data formats, and submit simple queries. Complex queries are supported using Hadoop or Oracle Database operating upon Oracle NoSQL Database data.

Oracle NoSQL Database delivers scalable throughput with bounded latency, easy administration, and a simple programming model. It scales horizontally to hundreds of nodes with high availability and transparent load balancing. Customers might choose Oracle NoSQL Database to support Web applications, acquire sensor data, scale authentication services, or support online serves and social media.

and

from

http://siliconangle.com/blog/2011/09/30/oracle-adopting-open-source-r-to-connect-legacy-systems/

Oracle says it will integrate R with its Oracle Database. Other signs from Oracle show the deeper interest in using the statistical framework for integration with Hadoop to potentially speed statistical analysis. This has particular value with analyzing vast amounts of unstructured data, which has overwhelmed organizations, especially over the past year.

and

from

http://www.oracle.com/us/corporate/features/features-oracle-r-enterprise-498732.html

Oracle R Enterprise

Integrates the Open-Source Statistical Environment R with Oracle Database 11g
Oracle R Enterprise allows analysts and statisticians to run existing R applications and use the R client directly against data stored in Oracle Database 11g—vastly increasing scalability, performance and security. The combination of Oracle Database 11g and R delivers an enterprise-ready, deeply integrated environment for advanced analytics. Users can also use analytical sandboxes, where they can analyze data and develop R scripts for deployment while results stay managed inside Oracle Database.

Open Source Analytics

My guest blog at Allanalytics.com is now up

http://www.allanalytics.com/ is the exciting community which looks at the business aspects to the analytics market with a great lineup of pedigree writers.

It is basically a point/counterpoint for and against open source analytics. I feel there is a scope of lot of improvement before open source dominates the world of analytics software like Android, Linux Web Server do in their markets. Part of this reason is – there needs to be more , much more investment in analytics research, development, easier to use interfaces, Big Data integration and rewarding ALL the writers of code regardless of whether the code is proprietary or open source.

A last word- I think open source analytics AND proprietary analytics software will have to learn to live with one another, with game theory dictating their response and counter-response. More competition is good, and open source is an AND option not an OR option to existing status quo.

You can read the full blog discussion at http://www.allanalytics.com/author.asp?section_id=1408&doc_id=233454&piddl_msgorder=thrd#msgs

Hopefully discussion would be more analytical than passionate 🙂 and greater investments in made in analytics by all sides.

 

Interview Markus Schmidberger ,Cloudnumbers.com

Here is an interview with Markus Schmidberger, Senior Community Manager for cloudnumbers.com. Cloudnumbers.com is the exciting new cloud startup for scientific computing. It basically enables transition to a R and other platforms in the cloud and makes it very easy and secure from the traditional desktop/server model of operation.

Ajay- Describe the startup story for setting up Cloudnumbers.com

Markus- In 2010 the company founders Erik Muttersbach (TU München), Markus Fensterer (TU München) and Moritz v. Petersdorff-Campen (WHU Vallendar) started with the development of the cloud computing environment. Continue reading “Interview Markus Schmidberger ,Cloudnumbers.com”

Use R for Business- Competition worth $ 20,000 #rstats

All you contest junkies, R lovers and general change the world people, here’s a new contest to use R in a business application

http://www.revolutionanalytics.com/news-events/news-room/2011/revolution-analytics-launches-applications-of-r-in-business-contest.php

REVOLUTION ANALYTICS LAUNCHES “APPLICATIONS OF R IN BUSINESS” CONTEST

$20,000 in Prizes for Users Solving Business Problems with R

 

PALO ALTO, Calif. – September 1, 2011 – Revolution Analytics, the leading commercial provider of R software, services and support, today announced the launch of its “Applications of R in Business” contest to demonstrate real-world uses of applying R to business problems. The competition is open to all R users worldwide and submissions will be accepted through October 31. The Grand Prize winner for the best application using R or Revolution R will receive $10,000.

The bonus-prize winner for the best application using features unique to Revolution R Enterprise – such as itsbig-data analytics capabilities or its Web Services API for R – will receive $5,000. A panel of independent judges drawn from the R and business community will select the grand and bonus prize winners. Revolution Analytics will present five honorable mention prize winners each with $1,000.

“We’ve designed this contest to highlight the most interesting use cases of applying R and Revolution R to solving key business problems, such as Big Data,” said Jeff Erhardt, COO of Revolution Analytics. “The ability to process higher-volume datasets will continue to be a critical need and we encourage the submission of applications using large datasets. Our goal is to grow the collection of online materials describing how to use R for business applications so our customers can better leverage Big Analytics to meet their analytical and organizational needs.”

To enter Revolution Analytics’ “Applications of R in Business” competition Continue reading “Use R for Business- Competition worth $ 20,000 #rstats”